Capital One seeks a Lead Machine Learning Engineer in McLean, VA (onsite) to productionize ML applications and scale ML systems within an Agile team.

Design, build, and deliver ML models and components that address real world business challenges, in collaboration with Product and Data Science teams.
Guide ML infrastructure choices by applying knowledge of modeling techniques, including model selection, data and feature choices, training processes, hyperparameter tuning, dimensionality, bias/variance considerations, and validation.
Tackle complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
Work within a cross functional Agile team to create and enhance software that enables state of the art big data and ML applications.
Retrain, maintain, and monitor models in production to ensure continued performance.
Leverage or build cloud based architectures, technologies, and platforms to deliver optimized ML models at scale.
Construct optimized data pipelines to feed ML models with reliable input data.
Apply continuous integration and continuous deployment practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
Ensure code quality and governance to minimize vulnerabilities and align ML with Responsible and Explainable AI practices.
Utilize programming languages such as Python, Scala, or Java.

Bachelor’s degree.
Minimum of 6 years designing and building data-intensive solutions using distributed computing (internship experience does not apply).
Minimum of 4 years programming with Python, Scala, or Java.
Minimum of 2 years building, scaling, and optimizing ML systems.

Lead Machine Learning Engineer

Job Description